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@article{142333,
        author = {Pramod Garg and Dr. Deepak Kumar},
        title = {Software Testing Technique Using Genetic Algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {1},
        pages = {71-77},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=142333},
        abstract = {The success of software depends upon on the quantity as well as quality of the testing. The testing stage can expend heaps of assets, if not planned in a proper way. Automatic test case generation sparing some of those valuable assets and in the meantime can accelerate the testing. Genetic Algorithms (GAs) are by and large broadly utilized for such programmed era, however none of these techniques are taking care of the fairness sort of predicates in a powerful way. This paper presents another system which can secure the programmed experiment era movement. A comparison of the current GA based method with the recently proposed procedure obviously shows that new strategy is general more proficient and therefore more desirable},
        keywords = {Genetic Algorithm, Software testing},
        month = {},
        }